ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns
M Sallam - Healthcare, 2023 - mdpi.com
ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM).
The potential applications of LLMs in health care education, research, and practice could be …
The potential applications of LLMs in health care education, research, and practice could be …
Scientific discovery in the age of artificial intelligence
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …
and accelerate research, hel** scientists to generate hypotheses, design experiments …
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing
This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses
natural language processing to fulfill text‐based user requests (ie, a “chatbot”). The history …
natural language processing to fulfill text‐based user requests (ie, a “chatbot”). The history …
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
Machine learning methods for small data challenges in molecular science
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
[HTML][HTML] Model aggregation techniques in federated learning: A comprehensive survey
Federated learning (FL) is a distributed machine learning (ML) approach that enables
models to be trained on client devices while ensuring the privacy of user data. Model …
models to be trained on client devices while ensuring the privacy of user data. Model …
The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey
Graph neural networks (GNNs) are an emerging research field. This specialized deep
neural network architecture is capable of processing graph structured data and bridges the …
neural network architecture is capable of processing graph structured data and bridges the …
The utility of ChatGPT as an example of large language models in healthcare education, research and practice: Systematic review on the future perspectives and …
M Sallam - MedRxiv, 2023 - medrxiv.org
An artificial intelligence (AI)-based conversational large language model (LLM) was
launched in November 2022 namely,“ChatGPT”. Despite the wide array of potential …
launched in November 2022 namely,“ChatGPT”. Despite the wide array of potential …
Machine learning for synthetic data generation: a review
Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …
data-related issues. These include data of poor quality, insufficient data points leading to …
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …